Yes, that would be a way to run the process and estimate how good the predictor is.
Quote:
Originally Posted by itooam
Thanks again for the thorough response Dr Magdon. I think we are talking along the same lines just a bit is lost in translation  one of the disadvantages of written communication. I apologies for my wording though, I don't mean to confuse; I used the words "Recency weighted regression" without knowing that this generally means something else in the machine learning literature.
I also think I now understand more clearly the application of
so thanks again for explaining. I think I need to read up on this more as this makes me question: "how do I measure how well this recency weighting would have performed in the past?". I assume to answer this you would need to loop through the above formula starting from an arbitrary start date i.e., starting with a dataset equal to the rule of thumb: 10 x DegreesOfFreedom e.g., in context of the simplest model ( ) we would start with a dataset of the first 50 days... pseudocode:
for i=50 to 996 step 1
....... = wholeDataSet[items 1 to i]
.......do the regression on and find by minimising
.......error = error +
endfor
